Biophysical Models and Applications in Ecosystem Analysis (Ecosystem Science&applications) - Softcover

Chen, Jiquan

 
9781611863932: Biophysical Models and Applications in Ecosystem Analysis (Ecosystem Science&applications)
Softcover
ISBN 10: 1611863937 ISBN 13: 9781611863932
Verlag: Michigan State University Press, 2021

Inhaltsangabe

The past five decades have witnessed a rapid growth of computer models for simulating ecosystem functions and dynamics. This has been fueled by the availability of remote sensing data, computation capability, and cross-disciplinary knowledge. These models contain many submodules for simulating different processes and forcing mechanisms, albeit it has become challenging to truly understand the details due to their complexity. Most ecosystem models, fortunately, are rooted in a few core biophysical foundations, such as the widely recognized Farquhar model, Ball-Berry-Leuning and Medlyn family models, Penman-Monteith equation, Priestley-Taylor model, and Michaelis-Menten kinetics. After an introduction of biophysical essentials, four chapters present the core algorithms and their behaviors in modeling ecosystem production, respiration, evapotranspiration, and global warming potentials. Each chapter is composed of a brief introduction of the literature, in which model algorithms, their assumptions, and performances are described in detail. Spreadsheet (or Python codes) templates are included in each chapter for modeling exercises with different input parameters as online materials, which include datasets, parameter estimation, and real-world applications (e.g., calculations of global warming potentials). Users can also apply their own datasets. The materials included in this volume serve as effective tools for users to understand model behaviors and uses with specified conditions and in situ applications. 

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Über die Autorin bzw. den Autor

Jiquan Chen is a professor in the Department of Geography, Environment, and Spatial Sciences at Michigan State University.

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Verlag
Michigan State University Press
Erscheinungsdatum
2021
Sprache
Englisch
ISBN 10 
1611863937
ISBN 13 
9781611863932
Einband
Taschenbuch
Anzahl der Seiten
153
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
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